visual analytics

What can you see and discover when youre able to explore trends and make predictions with your organizations data? If youre a midsize home delivery business, you can discover new ways to make customers happy. If youre a local government agency, you can predict where your resources are needed most. And if youre a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, weve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.

A picture is worth a thousand words  especially when you are trying to find relationships and understand your data  which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SAS® Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.

Its a social world and the majority of organizations today use Microsoft Office as their chosen office productivity suite. So its important to deliver insights where people are working most. This paper shows how you can use results produced by SAS Visual Analytics with Microsoft Office applications  Outlook, Excel, Word, PowerPoint and SharePoint. With plenty of how-to specifics, youll see how easy it is to combine analytic visualizations and reports with Microsoft products to share insights, improve collaboration and drive further adoption of analytics across your organization.

Although the phrase next-generation platforms and analytics can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and todays reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.

Using IBM Watsons cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.

If you are working with massive amounts of data, one challenge
is how to display results of data exploration and analysis in a
way that is not overwhelming. You may need a new way to look
at the data  one that collapses and condenses the results in an
intuitive fashion but still displays graphs and charts that decision
makers are accustomed to seeing. And, in todays on-the-go
society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time.
SAS® Visual Analytics is a data visualization and business
intelligence solution that uses intelligent autocharting to help
business analysts and nontechnical users visualize data. It
creates the best possible visual based on the data that is
selected. The visualizations make it easy to see patterns and
trends and identify opportunities for further analysis.

Business decision making is undergoing a data-infused renaissance.
Organizations are tired of the limitations of spreadsheets and
dealing with long IT business intelligence (BI) development cycles
just to gain access to the data they need now. Fortunately, with
the advent of visual analytics and discovery tools (many offered
in the cloud), the journey to data insight is getting simpler and
faster. Rather than trying to divine meaning from a group of
predefined reports or simple static dashboards, visual analytics
helps users gain insights from data more quickly using intuitive data
visualization. Increasingly, visual analytics tools provide easy-touse
data preparation features for better data access. They support
collaboration, mashups, and storytelling.
TDWI Research sees growing interest in applying more modern,
up-to-date tools for working with data.

How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow?
Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.
Join guest speaker, Forrester Research VP and Principal Analyst, Boris Evelson and Oracle Analytics Senior Group Director, Jose Villacis as they discuss insights from an Oracle-commissioned study of North American enterprise analytics leaders.

How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow?
Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.

Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniquesbut that doesn't stop them from wanting to have a go. But making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their dataand that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work.

TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.

Ask the average business user what they know about Business Intelligence (BI)
and data analytics, and most will claim to understand the concepts. Few, however,
will profess to know how analytics works or to have the skills needed to put it
into practice. Despite being knowledgeable about their industry and experienced
in running their organizations, the majority of business users lack expertise in
analytics and visualization techniquesbut that doesnt stop them from wanting
to have a go.
This situation has led to ease of use and accessibility becoming the main focus
for recent updates from all the leading BI vendorsbut making tools easier and
more widely accessible is only part of the answer.
A better approach is to work both sides of the gap. To make tools that can
empower business users to discover and unlock value in their dataand that
extend capabilities for experts, so they can share the analytics workload, improve
efficiency, and focus on higher level work.
Unfortunately, the

A significant challenge for many organizations has been enabling their analysts to find the "unknown
unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in
fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime.
IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional
visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective
early-detection, cyberintelligence weapon for its arsenal.

"The appearance of your reports and dashboards  the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
 How you can more effectively communicate with data.
 What constitutes an intuitive and highly navigable report
 How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
 Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."

"Todays business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data.
Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results.
Watch this webinar to learn how to use IBM Cognos Analytics to:
· Create the important elements of a good story
· Put the data in context
· Select the best type of ch

"What would you do if you didnt have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT?
View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT.
With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesnt stop there. Users can package the results in a visually-appealing format and share them throughout the organization.
Dont miss this opportunity to hear how you can:
* Benefit from advanced analytics without the complexity
* Operationalize insights and dashboards from a collection of trusted data sources
* Tell your story with rich visualizations and geospati

Learn about the four benefits of interactively creating, running, and evaluating high-performance analytic models and see how this will allow your organization to get a fast, interactive interface without all the tedious experimentation.

5G will be a transformative force, offering enhanced mobile broadband and enabling a huge volume of machine to machine communications, based on its ultra-reliable, and low latency network. For comms service providers it puts them in a strong position to offer new services, including in the Internet of Things (IoT), visual computing, analytics, and enhanced mobility.

Although the phrase next-generation platforms and analytics can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and todays reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.

"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isnt just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead.
While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution.
Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."

Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease.
Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed.
Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. Youll learn:
 How to generate relevant, actionable insights from any data, anywhere
 Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud
 How to

To mine raw data and extract crucial insights, business decisionâmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the businessâprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.

There are a wide variety of video platforms available, each offering a plethora of features. How do you decide which features you need and the features you don't need? In this paper you will receive ten tips and suggestions on how to make the correct choice for all of your online video platform needs.